Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false. The description adds behavior beyond them by stating that only workflow status changes and that original comments remain, clarifying the mutation's scope. Permissions and downstream effects are not covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the verb and resource. No wasted words; the status enumeration is compact and directly useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter status mutation with annotations covering safety and no output schema, the description is adequate: it explains what changes and what persists. It omits auth requirements and how to obtain a thread_id, but these are minor for this operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It names the target resource for thread_id and enumerates the valid status values, but the enum already exists in the schema and thread_id's format or source is not explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb and resource: 'Mark a feedback thread' with enumerated target states. It distinguishes itself from sibling feedback tools like reply_feedback and list_feedback by its status-setting action, though it does not explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use guidance, alternatives, or prerequisites are given. Usage is only implied by the action itself, leaving the agent to infer when to choose this over reply_feedback or list_feedback.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.